Available for new engagements

// 09 · APPLIED AI

AI that actually ships.

Not hype. Implementation. We identify where AI creates real leverage in your marketing and operations, then build it: content automation, lead scoring, workflow intelligence, custom integrations. From strategy through deployment, we turn AI potential into production systems.

Start a projectSee the work

AI strategy & opportunity audit Marketing automation LLM integration & prompting Workflow orchestration (n8n / Zapier) AI content pipelines Lead scoring & predictive ops Custom AI tooling Team upskilling

// What we deliver

Every engagement includes.

AI audit Map every marketing and ops process to find where AI creates the most ROI.

Opportunity roadmap Prioritised list of AI use cases with effort, impact, and risk scored.

Workflow automation Built and deployed automations using n8n, Zapier, or custom code.

LLM integration Connect OpenAI, Anthropic, or open-source models to your existing tools.

Content pipelines AI-assisted content production workflows that maintain brand voice.

Lead intelligence Scoring models and CRM integrations that surface your best opportunities.

Custom tooling Purpose-built internal tools: research assistants, brief generators, reporting bots.

Team training Practical workshops to upskill your team on prompt craft and AI tool use.

// How we work

From audit to automation.

Discover

Find the highest-leverage opportunities.

We audit your marketing stack and ops: mapping workflows, bottlenecks, and use cases scored by effort vs. impact.

Workflow & stack audit
Bottleneck identification
Use case scoring
Prioritized opportunity map

Weeks 1–2

Design

Spec before you build.

Architecture for each approved use case: models, data sources, integrations, and guardrails: no build without a clear spec.

Model & data source selection
Integration architecture
Guardrails & safety rails
Build specification

Weeks 3–4

Build

Ship with guardrails.

Automations, LLM integrations, and custom tooling built, tested, and deployed with staged rollout and feedback loops.

Automation workflows
LLM integrations
Custom tooling
Staged rollout & testing

Weeks 5–10

Evolve

Keep improving as AI evolves.

Monthly model reviews, prompt optimization, and new use case identification as your needs and the technology change.

Model & prompt reviews
Performance optimization
New use case identification
Ongoing partnership

Ongoing

// Engagement models

How we work together.

Three ways to engage: match the model to your situation. We'll guide you to the right fit.

Most common

Project

Fixed-scope AI build: defined automation, integration, or tooling delivered in 6–10 weeks.

·Scoped SOW with deliverables
·Staged build & testing
·Documentation & handoff

Typical: 6–10 weeks

Retainer

Ongoing AI partner: build, monitor, and evolve automations as your stack and strategy change month to month.

·Monthly build & optimization hours
·Proactive opportunity surfacing
·Model & prompt maintenance

Ongoing monthly

Sprint

Fast AI audit + proof-of-concept in 2–3 weeks. Find the highest-leverage use case, prototype it, prove the ROI.

·AI opportunity audit
·One live proof-of-concept
·Build roadmap for next phase

Typical: 2–3 weeks

// Service spectrum

Three ways AI creates leverage.

We lead with Applied AI as the brand: but the work spans three disciplines. Find the layer that matches where you are.

AI Strategy & Consulting

Audit your stack, map use cases, and build a prioritised AI roadmap. For teams that want to move deliberately before committing budget to build.

AI Integration & Automation

Connect the tools you already use with AI-powered workflows. Lead routing, content enrichment, CRM automation, and internal tooling that runs without human prompting.

Applied AI for Marketing & Ops

AI wired directly into your marketing and operations: content pipelines that maintain brand voice, SEO brief generators, competitor monitoring, and reporting dashboards that write themselves.

// Tools & tech we use

OpenAI Anthropic Claude LangChain n8n Zapier Make Pinecone Supabase HubSpot Airtable Notion AI Perplexity Python Vercel AI SDK

// FAQ

Questions about Applied AI.

01 We're not a tech company. Can AI still help us?

Yes: and honestly the ROI is often higher for non-tech companies because there’s more manual process to automate. We start every engagement with an audit to find the practical wins: drafting content, routing leads, summarising research, generating reports. No coding required on your side.

02 How do you handle AI hallucination and accuracy?

Every system we build has human-in-the-loop checkpoints for high-stakes outputs. We design prompts with constraints, use retrieval-augmented generation (RAG) where factual accuracy matters, and build explicit review steps into content pipelines.

03 What's the difference between Applied AI and just using ChatGPT?

ChatGPT is a tool. Applied AI is a system. We build the workflows, integrations, and guardrails that make AI useful at scale: pulling your data, maintaining your brand voice, pushing outputs to the right places, and running without manual prompting every time.

04 Do we own the AI systems you build?

Yes. Every workflow, integration, and custom tool we build is documented and handed over fully. We train your team to operate and maintain them. Our goal is to make you self-sufficient, not dependent.

05 How fast can we see ROI?

Sprint engagements often show measurable time savings within the first 3 weeks. Larger builds take 6–8 weeks to full deployment but often recover their cost in the first 60 days of operation through reduced manual hours.